Masatake Kai

683 citations
14 papers · 501 · h-index 10

Impact in

  • Genetics top 10%
    • Genetic and Kidney Cyst Diseases
    • Genetic Syndromes and Imprinting
  • Cell Biology top 10%

Papers in

    • Congenital heart defects research 3
    • Wnt/β-catenin signaling in development and cancer 3
    • Developmental Biology and Gene Regulation 3
    • Ubiquitin and proteasome pathways 1
    • Pluripotent Stem Cells Research 1

Masatake Kai

14 papers receiving 494 citations

Peers

Masatake Kai
Comparison fields: 5 of 65
  • Genetics 266
  • Cell Biology 114
  • Molecular Biology 374
  • Urology 12
  • Aging 3
Replace Rodrigo Cuervo with:
Rodrigo Cuervo Mexico
Ashraf M. Mohieldin United States
Donna L. Daentl United States
Diana Alcantara United Kingdom
Koshi Kunimoto United States
Evans C. Bailey United States
R Pallotta Italy
Robert Minkoff United States
Eric Brooks United States
Elsa Kress France
Masatake Kai relative to Rodrigo Cuervo Mexico Rodrigo Cuervo's profile →
Citations per field
00.5×1.5×2.4×
Rodrigo Cuervo · 1×
Citations per year

Countries citing papers authored by Masatake Kai

Since Specialization
Citations

This map shows the geographic impact of Masatake Kai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Masatake Kai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masatake Kai more than expected).

Fields of papers citing papers by Masatake Kai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Masatake Kai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Masatake Kai. The network helps show where Masatake Kai may publish in the future.

Co-authors

The 25 scholars most cited alongside Masatake Kai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Masatake Kai Line = papers co-authored together Masatake Kai links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2007227
2 201061
3 200948
4 200831
5 201229
6 200421
7 200115
8 201414
9 201114
10 200311
11 20009
12 20048
13 20157
14 20206

About Masatake Kai

Masatake Kai is a scholar working on Molecular Biology, Cell Biology, Genetics, Surgery and Urology, having authored 14 papers that have together received 501 indexed citations. Recurring topics across this work include Congenital heart defects research (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Developmental Biology and Gene Regulation (3 papers), Urological Disorders and Treatments (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Ubiquitin and proteasome pathways (1 paper), Pluripotent Stem Cells Research (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Genetics (266 citations), Cell Biology (114 citations), Molecular Biology (374 citations), Urology (12 citations) and Aging (3 citations). Masatake Kai has collaborated with scholars based in Japan, United Kingdom and Germany. Frequent co-authors include Masazumi Tada, Philip L. Beales, Beyhan Tüysüz, Suzanne Rix, Josephine Hill, Chad G. Pearson, Nursel Elçioğlu, Chiara Bacchelli, Jane Hartley and Jonathan L. Tobin. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cell Research, Journal of Clinical Microbiology, Anatomical Science International and Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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